How is R different from SAS

Comparison of the business intelligence platforms SAS and R for the analysis of clinical study data

Ramburger, Erwin (2015) Comparison of the business intelligence platforms SAS and R for the analysis of clinical study data. Masters thesis, University of Ulm.

Abstract

The present work deals with the comparison of the business intelligence platforms SAS and R with regard to their suitability for the analysis of clinical study data. Since Revolution Analytics has been selling its own R version with the name Revolution R for some time, the R language, previously mainly used in research, is now of interest to companies. In addition to the comparison between SAS and R, it is checked whether Revolution R is more suitable for this area than the open source variant of R. For a comparison that is as comprehensible as possible, AHP (Analytic Hierarchy Process), a method from decision theory, is used the individual requirements are weighted and assessed in pairs. The comparison reveals major conceptual differences between SAS and R, so that many tasks are possible with both tools, but they have to be solved in different ways. In an overall comparison, Revolution R remains just behind SAS, but ahead of Open Source R. Nevertheless, R shows its strengths in some areas, such as graphics creation. It is found that even if R lands just behind SAS in the overall rating, this tool is in principle well suited for the evaluation of clinical study data and can also be worthwhile depending on the focus of the company.

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